AI Python Program (Grade 6–7)

The AI Python Program (Grade 6–7) is designed to give students a practical foundation in Python programming and Artificial Intelligence. The program uses PictoBlox Python Mode for text-based coding, allowing learners to work with real Python while exploring AI concepts through hands-on activities and projects. The curriculum begins with essential programming concepts including Python introduction, variables and data types, input and output, operators, conditional statements, and writing Python programs.

After establishing Python fundamentals, students move into Python logic and AI programming. They learn decision making, rule-based AI logic, conditional AI systems, and problem solving using Python. These concepts are applied to smart rule-based applications, helping students connect programming logic with simple intelligent behavior. The program then introduces AI extensions and Computer Vision through camera-based AI input, face and object detection, AI input processing, and interactive AI activities using Python.

The Machine Learning module introduces students to the foundations of ML through data collection, data quality, model training and testing, and understanding ML errors. Students also learn how to connect Machine Learning outputs to Python actions. This progression helps learners understand how data and trained models can produce outputs that are then used within Python-based applications.

The final module focuses on AI project development and integrates Python with AI. Students work on an AI mini project and a real-world AI application, test their projects, and present their completed work. Across the program, learners develop computational thinking, logical problem-solving, practical coding ability, and experience with AI-powered projects.

The program includes 16 hands-on training sessions, a Python and AI learning workbook, 8+ AI and Python projects, practice assignments, mini project development, and a completion certificate. It is intended for Grade 6–7 students who want to begin learning Python and Artificial Intelligence through practical, beginner-friendly activities.

Students finish the program with practical exposure to Python decision making, smart rule-based systems, camera-based AI, face detection, object recognition, Machine Learning classification, AI automation, and ML plus Python integration. The projects covered include a Python Decision Maker, Smart Rule-Based AI System, Camera-Based AI Application, Face Detection using Python, Object Recognition Activity, Machine Learning Classifier, AI Automation Project, and AI Mini Project. These activities reinforce the program objectives by giving students opportunities to apply concepts, test solutions, solve problems, and present their work.

The program also supports a strong foundation for future technology learning by combining coding practice, AI concepts, project development, and real-world problem solving in one structured learning experience.